Xin Song
- Environmental Chemistry top 1%
- Per- and polyfluoroalkyl substances research 17
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- Toxic Organic Pollutants Impact 19
- Pollution top 2%
- Microbial bioremediation and biosurfactants 13
- Water Science and Technology top 5%
- Geochemistry and Petrology top 10%
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- Groundwater flow and contamination studies 12
- CO2 Sequestration and Geologic Interactions 6
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- Environmental remediation with nanomaterials 9
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- Microbial Community Ecology and Physiology 6
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- Atmospheric chemistry and aerosols 5
- Co-authors
- Qing WangChanglong WeiZhiwen TangMukhtiar AliDa DingZhihao HuXing ChenZhuanxia Zhang
- Journals
- Environmental Science & Technology (6 papers)The Science of The Total Environment (4 papers)Water Research (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xin Song
63 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Environmental Chemistry 527
- Health, Toxicology and Mutagenesis 557
- Pollution 411
- Water Science and Technology 252
- Geochemistry and Petrology 75
Countries citing papers authored by Xin Song
This map shows the geographic impact of Xin Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Song more than expected).
Fields of papers citing papers by Xin Song
This network shows the impact of papers produced by Xin Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xin Song. The network helps show where Xin Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 12 | |
| 3 | 2025 | 10 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 7 | |
| 12 | 2024 | 12 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 10 | |
| 15 | 2023 | 11 | |
| 16 | 2023 | 13 | |
| 17 | 2023 | 27 | |
| 18 | 2018 | 141 | |
| 19 | 2014 | 5 | |
| 20 | 2012 | 59 |
About Xin Song
Xin Song is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis and Pollution, having authored 75 papers that have together received 1.4k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (19 papers), Per- and polyfluoroalkyl substances research (17 papers), Microbial bioremediation and biosurfactants (13 papers), Groundwater flow and contamination studies (12 papers), Environmental remediation with nanomaterials (9 papers), Microbial Community Ecology and Physiology (6 papers), CO2 Sequestration and Geologic Interactions (6 papers) and Atmospheric chemistry and aerosols (5 papers). The work is most often cited by research in Environmental Chemistry (527 citations), Health, Toxicology and Mutagenesis (557 citations) and Pollution (411 citations). Xin Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qing Wang, Changlong Wei, Zhiwen Tang, Mukhtiar Ali, Da Ding, Zhihao Hu, Xing Chen, Zhuanxia Zhang, Qing Wang and Jianguo Liu. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.